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隧道建设(中英文) ›› 2023, Vol. 43 ›› Issue (S2): 477-484.DOI: 10.3973/j.issn.2096-4498.2023.S2.052

• 施工技术 • 上一篇    下一篇

智能通风系统在某施工隧道中的应用实践

罗占夫1, 2, 王继红3, 孙毅3, 商家旭3, 王树刚3, *, 蒋爽4, 王栋1, 2, 吴元金1, 2, 刘祺君5   

  1. 1. 中铁隧道局集团特种高新技术有限公司, 上海 201306 2. 中铁隧道局集团有限公司隧道结构 智能监控与维护重点实验室, 广东 广州 511458 3. 大连理工大学, 辽宁 大连 1160244. 大连民族大学, 辽宁 大连 116600 5. 广弘科技(大连)有限公司, 辽宁 大连 116084
  • 出版日期:2023-12-30 发布日期:2024-03-28
  • 作者简介:罗占夫(1973—),男,河北河间人,1995 年毕业于阜新矿业学院,矿山通风与安全专业,本科,教授级高级工程师,现从事隧道与地下工程设计与研究工作。Email: 34801107@qq.com。*通信作者: 王树刚, Email: sgwang@dlut.edu.cn。

Application of Intelligent Ventilation System in a Tunnel Under Construction

LUO Zhanfu1, 2, WANG Jihong3, SUN Yi3, SHANG Jiaxu3, WANG Shugang3, *, JIANG Shuang4, WANG Dong1, 2, WU Yuanjin1, 2, LIU Qijun5   

  1. (1. China Railway Tunnel Group Special High-Tech Co., Ltd, Shanghai 201306, China; 2. Guangdong Provincial Key Laboratory of Intelligent Monitoring and Maintenance of Tunnel Structure, Guangzhou 511458, Guangdong, China; 3. Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian 116024, Liaoning, China; 4. College of Civil Engineering, Dalian Minzu University, Dalian 116600, Liaoning, China; 5. Guanghong Technology Co., Ltd., Dalian 116084, Liaoning, China)
  • Online:2023-12-30 Published:2024-03-28

摘要: 为推进智能控制技术在隧道施工通风领域的应用,提出一种简捷的施工隧道智能通风控制系统,主要包括控制主机、工作面环境参数识别模块和执行器控制管理模块。系统基于一种改进的增广ZNPID算法(AZNPID),通过对超标污染物浓度进行归一化处理,实现了隧道通风的多参数控制。在某施工隧道进行为期2个月的实际应用中,研究结果显示,该系统能够根据掌子面污染物浓度精准地调节风机运行频率。与传统方法相比,智能通风系统可降低约31%的电力消耗,具有良好的节能潜力。同时,提出了基于实测数据和历史数据的全工序通风控制方法。通过分析各工序特征和风量需求,可以实现施工工序与时段的实时判定,为实现全工序智能化通风控制提供了新思路。本研究提出的智能通风控制系统与方法有助于推进施工隧道通风的科学管理,为隧道通风智能化推广应用提供了有价值的参考。

关键词: 隧道, 智能通风, 变频调速, 智能控制, 通风节能

Abstract: To promote the application of intelligent control technology in the field of tunnel construction ventilation, a streamlined intelligent ventilation control system for construction tunnels is proposed. This system mainly consists of three components: a monitoring host module, a working face environment recognition module, and an actuator control module. Based on an enhanced augmented ZNPID algorithm, the system achieves multiparameter control of tunnel ventilation by normalizing pollutant concentrations. The study results reveal that the intelligent ventilation system efficiently adjusts the fan frequency according to the pollutant concentration at the working face during a twomonth field test in a construction tunnel. In comparison to traditional methods, the system manages to reduce power consumption by approximately 31%, indicating a significant potential for energy savings. Furthermore, a comprehensive processbased ventilation control method based on realtime measurements and historical data is proposed. By analyzing the unique characteristics of each construction process and the air volume requirements, realtime assessments of the procedure of construction are achieved. This provides a novel approach to achieving comprehensive processbased intelligent ventilation control. The proposed intelligent ventilation control system and methodology contribute to advancing the scientific management of ventilation in construction tunnels, providing valuable insights for the intelligent application of tunnel ventilation.

Key words: tunnel, intelligent ventilation, variablefrequency speed regulation, intelligent control, energy saving